AP Stats Project 1 Task 1

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Last updated 5:58 PM on 9/10/26
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21 Terms

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Individuals

- an object/ the "thing" being described in a data set

- depending on type of study, individuals can be observational or experimental units

<p>- an object/ the "thing" being described in a data set</p><p>- depending on type of study, individuals can be observational or experimental units</p>
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Variables

-attributes of individuals that take different values for different individuals

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Data Set

-a collection of data (set of multiple datum)

<p>-a collection of data (set of multiple datum)</p>
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Categorical Variable

- a variable that assigns labels placing each individual into a category/group

- ex: color, age, group, graduating class

<p>- a variable that assigns labels placing each individual into a category/group</p><p>- ex: color, age, group, graduating class</p>
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Quantitative variable (blanket term)

- a variable that takes number values that are quantities

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Discreet Variable

- quantitative variable that takes on a fixed set of values that have gaps in-between

- ex: shoe size, age, etc.

<p>- quantitative variable that takes on a fixed set of values that have gaps in-between</p><p>- ex: shoe size, age, etc.</p>
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Continuous Variable

- quantitative variable that takes on any value in an interval; includes in-between values

- ex: height, weight, test scores

<p>- quantitative variable that takes on any value in an interval; includes in-between values </p><p>- ex: height, weight, test scores</p>
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Distribution

- something that tells us what values a variable takes and how often it takes those values

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Frequency Table

-a table that displays the COUNT/FREQUENCY of observations in each category or interval

<p>-a table that displays the COUNT/FREQUENCY of observations in each category or interval</p>
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Relative Frequency Table

- a table that displays the PROPORTION/PERCENTAGE of observations in each category or interval

<p>- a table that displays the PROPORTION/PERCENTAGE of observations in each category or interval</p>
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Bar Chart

- displays distribution of a categorical variable w/ heights of bars showing frequency/relative frequency for each values

-spaces between bars; used for categorical variables

<p>- displays distribution of a categorical variable w/ heights of bars showing frequency/relative frequency for each values</p><p>-spaces between bars; used for categorical variables</p>
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Pie Chart

- shows the distribution of a categorical variable as a "pie" whose slices are sized by the counts/percentages for the categories

- must include all categories; used for categorical variables

<p>- shows the distribution of a categorical variable as a "pie" whose slices are sized by the counts/percentages for the categories</p><p>- must include all categories; used for categorical variables</p>
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Histogram

- shows each interval of values as a bar, heights of bars show frequencies/relative frequencies of values in each interval

- bars don't have spaces b/t; used for quantitative variables

<p>- shows each interval of values as a bar, heights of bars show frequencies/relative frequencies of values in each interval</p><p>- bars don't have spaces b/t; used for quantitative variables</p>
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Stemplot

- shows each value separated into 2 parts:

a) stem: consists of all but the final digit, ordered from lowest to highest and arranged in a vertical column

b) leaf: the final digit, arranged in increasing order from each stem

<p>- shows each value separated into 2 parts:</p><p>a) stem: consists of all but the final digit, ordered from lowest to highest and arranged in a vertical column</p><p>b) leaf: the final digit, arranged in increasing order from each stem</p>
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Split Stemplot

- contains 2 rows for each stem w/ leaves from 0-4 in the first copy & leaves from 5-9 in the second copy

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Side-by-side stemplot

- Shows distribution of two variables with common stems

<p>- Shows distribution of two variables with common stems</p>
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Shape terms

- Symmetric: right and left sides are approximately the same

- Skewed left: tail of data on L, peak at R

- Skewed right: tail of data on R, peak on L

- Unimodal/Bimodal: having 1 or 2 peaks/modes

- Uniform: relative frequency of everything is approximately the same (equally likely)

<p>- Symmetric: right and left sides are approximately the same</p><p>- Skewed left: tail of data on L, peak at R</p><p>- Skewed right: tail of data on R, peak on L</p><p>- Unimodal/Bimodal: having 1 or 2 peaks/modes</p><p>- Uniform: relative frequency of everything is approximately the same (equally likely)</p>
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Unusual Features

- Outliers: data that falls outside the overall pattern of a distribution

- Gaps: spaces between data

- Clusters: data grouped together

<p>- Outliers: data that falls outside the overall pattern of a distribution</p><p>- Gaps: spaces between data</p><p>- Clusters: data grouped together</p>
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Center terms (median/mode)

- Mean: the "average" of the data; add all data together then divide by amount of data

- Median: the "middle" of the data; count how many total values you have and find the midpoint

<p>- Mean: the "average" of the data; add all data together then divide by amount of data</p><p>- Median: the "middle" of the data; count how many total values you have and find the midpoint</p>
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Spread/Variability Terms

- Range: difference between maximum and minimum values

- IQR: difference between Q3 & Q1

- Standard Deviation: typical distance of the values from the mean

<p>- Range: difference between maximum and minimum values</p><p>- IQR: difference between Q3 & Q1</p><p>- Standard Deviation: typical distance of the values from the mean</p>
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Boxplot/ 5 number summary

- the five number summary consists of....

- minimum

- Q1

- Q2/median

- Q3

- maximum

<p>- the five number summary consists of....</p><p>- minimum</p><p>- Q1</p><p>- Q2/median</p><p>- Q3</p><p>- maximum</p>